{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"categories\": [{\"name\": \"outdoor_\", \"score\": 0.00390625, \"detail\": {\"landmarks\": []}}, {\"name\": \"outdoor_street\", \"score\": 0.33984375, \"detail\": {\"landmarks\": []}}], \"color\": {\"dominantColorForeground\": \"Brown\", \"dominantColorBackground\": \"Brown\", \"dominantColors\": [\"Brown\"], \"accentColor\": \"B54316\", \"isBwImg\": false, \"isBWImg\": false}, \"description\": {\"tags\": [\"building\", \"outdoor\", \"street\", \"city\", \"people\", \"busy\", \"night\", \"ride\", \"crowd\"], \"captions\": [{\"text\": \"a busy street with many people\", \"confidence\": 0.35401207208633423}]}, \"requestId\": \"18e9dbdb-3d08-41b0-9c1e-7db1e5d1f113\", \"metadata\": {\"height\": 600, \"width\": 450, \"format\": \"Jpeg\"}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "    subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "else:\n",
    "    print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "    sys.exit()\n",
    "\n",
    "if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "    endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "analyze_url = endpoint + \"vision/v3.1/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://upload.wikimedia.org/wikipedia/commons/thumb/1/12/\" + \\\n",
    "    \"Broadway_and_Times_Square_by_night.jpg/450px-Broadway_and_Times_Square_by_night.jpg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(analyze_url, headers=headers,\n",
    "                         params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The most\n",
    "# relevant caption for the image is obtained from the 'description' property.\n",
    "analysis = response.json()\n",
    "print(json.dumps(response.json()))\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'categories': [{'name': 'others_', 'score': 0.00390625}, {'name': 'people_', 'score': 0.7109375, 'detail': {'celebrities': [{'name': 'Kanna Hashimoto', 'confidence': 0.9318345189094543, 'faceRectangle': {'left': 632, 'top': 230, 'width': 404, 'height': 404}}]}}], 'color': {'dominantColorForeground': 'Black', 'dominantColorBackground': 'Black', 'dominantColors': ['Black', 'Grey'], 'accentColor': '634949', 'isBwImg': False, 'isBWImg': False}, 'description': {'tags': ['text', 'person', 'necktie', 'suit', 'wearing'], 'captions': [{'text': 'Kanna Hashimoto in a suit', 'confidence': 0.490845650434494}]}, 'requestId': '1879615c-5d80-4078-a1e7-a91f87273fa9', 'metadata': {'height': 1080, 'width': 1920, 'format': 'Png'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "    subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "else:\n",
    "    print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "    sys.exit()\n",
    "\n",
    "if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "    endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "analyze_url = endpoint + \"vision/v3.1/analyze\"\n",
    "\n",
    "# Set image_path to the local path of an image that you want to analyze.\n",
    "# Sample images are here, if needed:\n",
    "# https://github.com/Azure-Samples/cognitive-services-sample-data-files/tree/master/ComputerVision/Images\n",
    "image_path = \"C:/Users/LINLIN/OneDrive/图片/屏幕快照/2019-06-30 (3).png\"\n",
    "\n",
    "# Read the image into a byte array\n",
    "image_data = open(image_path, \"rb\").read()\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key,\n",
    "           'Content-Type': 'application/octet-stream'}\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "response = requests.post(\n",
    "    analyze_url, headers=headers, params=params, data=image_data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The most\n",
    "# relevant caption for the image is obtained from the 'description' property.\n",
    "analysis = response.json()\n",
    "print(analysis)\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(image_data))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thumbnail is 50-by-50\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following lines.\n",
    "# %matplotlib inline\n",
    "# import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "thumbnail_url = endpoint + \"vision/v3.1/generateThumbnail\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://dss0.bdstatic.com/70cFvHSh_Q1YnxGkpoWK1HF6hhy/it/u=449687772,2527054128&fm=26&gp=0.jpg\"\n",
    "\n",
    "# Construct URL\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "params = {'width': '50', 'height': '50', 'smartCropping': 'true'}\n",
    "data = {'url': image_url}\n",
    "# Call API\n",
    "response = requests.post(thumbnail_url, headers=headers, params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# Open the image from bytes\n",
    "thumbnail = Image.open(BytesIO(response.content))\n",
    "\n",
    "# Verify the thumbnail size.\n",
    "print(\"Thumbnail is {0}-by-{1}\".format(*thumbnail.size))\n",
    "\n",
    "# Save thumbnail to file\n",
    "thumbnail.save('thumbnail.png')\n",
    "\n",
    "# Display image\n",
    "thumbnail.show()\n",
    "\n",
    "# Optional. Display the thumbnail from Jupyter.\n",
    "# plt.imshow(thumbnail)\n",
    "# plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"status\": \"running\",\n",
      "    \"createdDateTime\": \"2020-10-22T13:47:53Z\",\n",
      "    \"lastUpdatedDateTime\": \"2020-10-22T13:47:53Z\"\n",
      "}\n",
      "{\n",
      "    \"status\": \"succeeded\",\n",
      "    \"createdDateTime\": \"2020-10-22T13:47:53Z\",\n",
      "    \"lastUpdatedDateTime\": \"2020-10-22T13:47:54Z\",\n",
      "    \"analyzeResult\": {\n",
      "        \"version\": \"3.0.0\",\n",
      "        \"readResults\": [\n",
      "            {\n",
      "                \"page\": 1,\n",
      "                \"angle\": 0.6856,\n",
      "                \"width\": 2661,\n",
      "                \"height\": 1901,\n",
      "                \"unit\": \"pixel\",\n",
      "                \"lines\": [\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            38,\n",
      "                            650,\n",
      "                            2572,\n",
      "                            699,\n",
      "                            2570,\n",
      "                            854,\n",
      "                            37,\n",
      "                            815\n",
      "                        ],\n",
      "                        \"text\": \"The quick brown fox jumps\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    116,\n",
      "                                    654,\n",
      "                                    478,\n",
      "                                    672,\n",
      "                                    477,\n",
      "                                    819,\n",
      "                                    115,\n",
      "                                    818\n",
      "                                ],\n",
      "                                \"text\": \"The\",\n",
      "                                \"confidence\": 0.984\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    533,\n",
      "                                    675,\n",
      "                                    1005,\n",
      "                                    692,\n",
      "                                    1004,\n",
      "                                    823,\n",
      "                                    532,\n",
      "                                    819\n",
      "                                ],\n",
      "                                \"text\": \"quick\",\n",
      "                                \"confidence\": 0.967\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    1137,\n",
      "                                    697,\n",
      "                                    1620,\n",
      "                                    707,\n",
      "                                    1620,\n",
      "                                    833,\n",
      "                                    1136,\n",
      "                                    825\n",
      "                                ],\n",
      "                                \"text\": \"brown\",\n",
      "                                \"confidence\": 0.973\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    1653,\n",
      "                                    707,\n",
      "                                    2016,\n",
      "                                    711,\n",
      "                                    2015,\n",
      "                                    841,\n",
      "                                    1653,\n",
      "                                    833\n",
      "                                ],\n",
      "                                \"text\": \"fox\",\n",
      "                                \"confidence\": 0.559\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    2049,\n",
      "                                    712,\n",
      "                                    2565,\n",
      "                                    711,\n",
      "                                    2565,\n",
      "                                    854,\n",
      "                                    2048,\n",
      "                                    842\n",
      "                                ],\n",
      "                                \"text\": \"jumps\",\n",
      "                                \"confidence\": 0.978\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            184,\n",
      "                            1053,\n",
      "                            508,\n",
      "                            1044,\n",
      "                            510,\n",
      "                            1123,\n",
      "                            184,\n",
      "                            1128\n",
      "                        ],\n",
      "                        \"text\": \"over\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    221,\n",
      "                                    1058,\n",
      "                                    506,\n",
      "                                    1045,\n",
      "                                    510,\n",
      "                                    1125,\n",
      "                                    221,\n",
      "                                    1128\n",
      "                                ],\n",
      "                                \"text\": \"over\",\n",
      "                                \"confidence\": 0.835\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            639,\n",
      "                            1011,\n",
      "                            1976,\n",
      "                            1026,\n",
      "                            1974,\n",
      "                            1158,\n",
      "                            637,\n",
      "                            1141\n",
      "                        ],\n",
      "                        \"text\": \"the lazy dog!\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    669,\n",
      "                                    1012,\n",
      "                                    967,\n",
      "                                    1012,\n",
      "                                    967,\n",
      "                                    1144,\n",
      "                                    668,\n",
      "                                    1127\n",
      "                                ],\n",
      "                                \"text\": \"the\",\n",
      "                                \"confidence\": 0.985\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    1087,\n",
      "                                    1012,\n",
      "                                    1504,\n",
      "                                    1018,\n",
      "                                    1506,\n",
      "                                    1158,\n",
      "                                    1087,\n",
      "                                    1149\n",
      "                                ],\n",
      "                                \"text\": \"lazy\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    1661,\n",
      "                                    1021,\n",
      "                                    1974,\n",
      "                                    1029,\n",
      "                                    1976,\n",
      "                                    1156,\n",
      "                                    1663,\n",
      "                                    1158\n",
      "                                ],\n",
      "                                \"text\": \"dog!\",\n",
      "                                \"confidence\": 0.559\n",
      "                            }\n",
      "                        ]\n",
      "                    }\n",
      "                ]\n",
      "            }\n",
      "        ]\n",
      "    }\n",
      "}\n"
     ]
    },
    {
     "ename": "ConnectionError",
     "evalue": "HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /MicrosoftDocs/azure-docs/master/articles/cognitive-services/Computer-vision/Images/readsample.jpg (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x0074DB98>: Failed to establish a new connection: [Errno 11004] getaddrinfo failed'))",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mgaierror\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    158\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 159\u001b[1;33m             conn = connection.create_connection(\n\u001b[0m\u001b[0;32m    160\u001b[0m                 \u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_dns_host\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mport\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mextra_kw\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\util\\connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m     60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 61\u001b[1;33m     \u001b[1;32mfor\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msocket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetaddrinfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfamily\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSOCK_STREAM\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     62\u001b[0m         \u001b[0maf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocktype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcanonname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msa\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mres\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\socket.py\u001b[0m in \u001b[0;36mgetaddrinfo\u001b[1;34m(host, port, family, type, proto, flags)\u001b[0m\n\u001b[0;32m    917\u001b[0m     \u001b[0maddrlist\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 918\u001b[1;33m     \u001b[1;32mfor\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32min\u001b[0m \u001b[0m_socket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetaddrinfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfamily\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    919\u001b[0m         \u001b[0maf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocktype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcanonname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msa\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mres\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mgaierror\u001b[0m: [Errno 11004] getaddrinfo failed",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mNewConnectionError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    669\u001b[0m             \u001b[1;31m# Make the request on the httplib connection object.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 670\u001b[1;33m             httplib_response = self._make_request(\n\u001b[0m\u001b[0;32m    671\u001b[0m                 \u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m    380\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 381\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    382\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[1;34m(self, conn)\u001b[0m\n\u001b[0;32m    975\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"sock\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m  \u001b[1;31m# AppEngine might not have  `.sock`\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 976\u001b[1;33m             \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    977\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36mconnect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    307\u001b[0m         \u001b[1;31m# Add certificate verification\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 308\u001b[1;33m         \u001b[0mconn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_new_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    309\u001b[0m         \u001b[0mhostname\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    170\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mSocketError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 171\u001b[1;33m             raise NewConnectionError(\n\u001b[0m\u001b[0;32m    172\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Failed to establish a new connection: %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNewConnectionError\u001b[0m: <urllib3.connection.HTTPSConnection object at 0x0074DB98>: Failed to establish a new connection: [Errno 11004] getaddrinfo failed",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mMaxRetryError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    438\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mchunked\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 439\u001b[1;33m                 resp = conn.urlopen(\n\u001b[0m\u001b[0;32m    440\u001b[0m                     \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    723\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 724\u001b[1;33m             retries = retries.increment(\n\u001b[0m\u001b[0;32m    725\u001b[0m                 \u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_pool\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_stacktrace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\urllib3\\util\\retry.py\u001b[0m in \u001b[0;36mincrement\u001b[1;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[0;32m    438\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mnew_retry\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_exhausted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 439\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mMaxRetryError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcause\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    440\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mMaxRetryError\u001b[0m: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /MicrosoftDocs/azure-docs/master/articles/cognitive-services/Computer-vision/Images/readsample.jpg (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x0074DB98>: Failed to establish a new connection: [Errno 11004] getaddrinfo failed'))",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mConnectionError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-dd157c9a7021>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     71\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     72\u001b[0m \u001b[1;31m# Display the image and overlay it with the extracted text.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 73\u001b[1;33m \u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mBytesIO\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage_url\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     74\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     75\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mpolygon\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mpolygons\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mget\u001b[1;34m(url, params, **kwargs)\u001b[0m\n\u001b[0;32m     74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     75\u001b[0m     \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'allow_redirects'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 76\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'get'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     77\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     78\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(method, url, **kwargs)\u001b[0m\n\u001b[0;32m     59\u001b[0m     \u001b[1;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     60\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 61\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     62\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     63\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m    528\u001b[0m         }\n\u001b[0;32m    529\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 530\u001b[1;33m         \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    531\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    532\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    641\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    642\u001b[0m         \u001b[1;31m# Send the request\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 643\u001b[1;33m         \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    644\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    645\u001b[0m         \u001b[1;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    514\u001b[0m                 \u001b[1;32mraise\u001b[0m \u001b[0mSSLError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    515\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 516\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mConnectionError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    517\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    518\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mClosedPoolError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mConnectionError\u001b[0m: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /MicrosoftDocs/azure-docs/master/articles/cognitive-services/Computer-vision/Images/readsample.jpg (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x0074DB98>: Failed to establish a new connection: [Errno 11004] getaddrinfo failed'))"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import os\n",
    "import sys\n",
    "import requests\n",
    "import time\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Polygon\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "missing_env = False\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "    endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "else:\n",
    "    print(\"From Azure Cognitive Service, retrieve your endpoint and subscription key.\")\n",
    "    print(\"\\nSet the COMPUTER_VISION_ENDPOINT environment variable, such as \\\"https://westus2.api.cognitive.microsoft.com\\\".\\n\")\n",
    "    missing_env = True\n",
    "\n",
    "if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "    subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "else:\n",
    "    print(\"From Azure Cognitive Service, retrieve your endpoint and subscription key.\")\n",
    "    print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable, such as \\\"1234567890abcdef1234567890abcdef\\\".\\n\")\n",
    "    missing_env = True\n",
    "\n",
    "if missing_env:\n",
    "    print(\"**Restart your shell or IDE for changes to take effect.**\")\n",
    "    sys.exit()\n",
    "\n",
    "text_recognition_url = endpoint + \"/vision/v3.1/read/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to recognize.\n",
    "image_url = \"https://raw.githubusercontent.com/MicrosoftDocs/azure-docs/master/articles/cognitive-services/Computer-vision/Images/readsample.jpg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(\n",
    "    text_recognition_url, headers=headers, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# Extracting text requires two API calls: One call to submit the\n",
    "# image for processing, the other to retrieve the text found in the image.\n",
    "\n",
    "# Holds the URI used to retrieve the recognized text.\n",
    "operation_url = response.headers[\"Operation-Location\"]\n",
    "\n",
    "# The recognized text isn't immediately available, so poll to wait for completion.\n",
    "analysis = {}\n",
    "poll = True\n",
    "while (poll):\n",
    "    response_final = requests.get(\n",
    "        response.headers[\"Operation-Location\"], headers=headers)\n",
    "    analysis = response_final.json()\n",
    "    \n",
    "    print(json.dumps(analysis, indent=4))\n",
    "\n",
    "    time.sleep(1)\n",
    "    if (\"analyzeResult\" in analysis):\n",
    "        poll = False\n",
    "    if (\"status\" in analysis and analysis['status'] == 'failed'):\n",
    "        poll = False\n",
    "\n",
    "polygons = []\n",
    "if (\"analyzeResult\" in analysis):\n",
    "    # Extract the recognized text, with bounding boxes.\n",
    "    polygons = [(line[\"boundingBox\"], line[\"text\"])\n",
    "                for line in analysis[\"analyzeResult\"][\"readResults\"][0][\"lines\"]]\n",
    "\n",
    "# Display the image and overlay it with the extracted text.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "ax = plt.imshow(image)\n",
    "for polygon in polygons:\n",
    "    vertices = [(polygon[0][i], polygon[0][i+1])\n",
    "                for i in range(0, len(polygon[0]), 2)]\n",
    "    text = polygon[1]\n",
    "    patch = Polygon(vertices, closed=True, fill=False, linewidth=2, color='y')\n",
    "    ax.axes.add_patch(patch)\n",
    "    plt.text(vertices[0][0], vertices[0][1], text, fontsize=20, va=\"top\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(0.0, 1.0, 0.0, 1.0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Rectangle\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "    subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "else:\n",
    "    print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "    sys.exit()\n",
    "\n",
    "if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "    endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "ocr_url = endpoint + \"vision/v3.1/ocr\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://upload.wikimedia.org/wikipedia/commons/thumb/a/af/\" + \\\n",
    "    \"Atomist_quote_from_Democritus.png/338px-Atomist_quote_from_Democritus.png\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "params = {'language': 'unk', 'detectOrientation': 'true'}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(ocr_url, headers=headers, params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "analysis = response.json()\n",
    "\n",
    "# Extract the word bounding boxes and text.\n",
    "line_infos = [region[\"lines\"] for region in analysis[\"regions\"]]\n",
    "word_infos = []\n",
    "for line in line_infos:\n",
    "    for word_metadata in line:\n",
    "        for word_info in word_metadata[\"words\"]:\n",
    "            word_infos.append(word_info)\n",
    "word_infos\n",
    "\n",
    "# Display the image and overlay it with the extracted text.\n",
    "plt.figure(figsize=(5, 5))\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "ax = plt.imshow(image, alpha=0.5)\n",
    "for word in word_infos:\n",
    "    bbox = [int(num) for num in word[\"boundingBox\"].split(\",\")]\n",
    "    text = word[\"text\"]\n",
    "    origin = (bbox[0], bbox[1])\n",
    "    patch = Rectangle(origin, bbox[2], bbox[3],\n",
    "                      fill=False, linewidth=2, color='y')\n",
    "    ax.axes.add_patch(patch)\n",
    "    plt.text(origin[0], origin[1], text, fontsize=20, weight=\"bold\", va=\"top\")\n",
    "plt.show()\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'result': {'landmarks': [{'name': 'Bunker Hill Monument', 'confidence': 0.9788281321525574}]}, 'requestId': '0e90ea78-6e15-4424-a683-957ac65e0cb4', 'metadata': {'height': 1600, 'width': 1200, 'format': 'Jpeg'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "    subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "else:\n",
    "    print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "    sys.exit()\n",
    "\n",
    "if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "    endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "landmark_analyze_url = endpoint + \"vision/v3.1/models/landmarks/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://upload.wikimedia.org/wikipedia/commons/f/f6/\" + \\\n",
    "    \"Bunker_Hill_Monument_2005.jpg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "params = {'model': 'landmarks'}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(\n",
    "    landmark_analyze_url, headers=headers, params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The\n",
    "# most relevant landmark for the image is obtained from the 'result' property.\n",
    "analysis = response.json()\n",
    "assert analysis[\"result\"][\"landmarks\"] is not []\n",
    "print(analysis)\n",
    "landmark_name = analysis[\"result\"][\"landmarks\"][0][\"name\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the landmark name.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(landmark_name, size=\"x-large\", y=-0.1)\n",
    "plt.show()"
   ]
  },
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   "source": []
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